Abstract 3369: Utility of ctDNA-based targeted methylation MRD assay for hematological malignancies
Authors: Veerendra Munugalavadla, Gary de Jesus, Aleksandra Markovets, Qinwen Liu, Oliver Venn, Rafael White, Giulia Fabbri, Paul Labrousse, Dan Stetson, Brian Dougherty, Darren Hodgson, Jill Walker, Anas Younes, Daniel Auclair
Journal: Cancer Research (2023)

Abstract Introduction: Minimal or measurable residual disease (MRD) is an emerging independent predictor of progression-free and overall survival in several hematologic diseases. Despite many different methods used in clinical trials, few assays have clinical utility as a surrogate endpoint in a limited number of hematologic malignancies. MRD assays for lymphomas are mostly performed in research settings due to lack of harmonized methods, heterogeneity of diseases, and need for a primary tumor sample. We explored the feasibility of a pan hematologic malignancy classifier (“pan heme classifier”) based on GRAIL’s methylation platform as a potential tumor-agnostic plasma-based MRD assay for hematologic malignancies. Methods: First, 428 plasma samples from various hematologic malignancies including diffuse large B-cell lymphoma (DLBCL), follicular lymphoma (FL), mantle cell lymphoma (MCL), acute myeloid leukemia (AML), chronic lymphocytic leukemia (CLL), and multiple myeloma (MM) were blindly tested retrospectively using the pan heme classifier. The majority of samples (375/428; 88%) were from relapsed/refractory (R/R) disease. Cancer signal detection and signal origin prediction were explored at various detection thresholds. Next, sensitivity of the pan heme classifier was evaluated using 74 (22 and 14 unique patients in CLL and MCL, respectively) post-treatment samples with orthogonal methods (flow cytometry in CLL and clonoSEQ in MCL). Finally, dilution experiments were carried out in 4 DLBCL and 4 CLL patient samples. Results: Of 428 samples, 408 (95%) passed quality control. At a prespecified detection threshold, we observed high (91%) cancer detection rate with high cancer signal origin accuracies: 100% in CLL, &amp;gt;98% in MM, &amp;gt;95% in non-Hodgkin lymphoma (DLBCL, FL, MCL), and 87% in AML samples. As expected, targeting lower detection thresholds resulted in increased cancer-positive calls. Cancer was reproducibly detected in 48 of 54 (89%) cases where paired samples were taken prior to treatment (screening and cycle 1, day 1), demonstrating high biologic reproducibility. Analysis of posttreatment CLL and MCL samples with cell-based orthogonal MRD assays suggests the current assay limit of detection (LOD) is ~10-3-10-4 MVAF (a methylation-based tumor fraction estimate). These data suggest that cancer signal score is strongly correlated to the observed MVAF. Furthermore, serially diluted DLBCL and CLL patient plasma samples were spiked into healthy volunteer plasma samples, suggesting an LOD of 10-4 MVAF. Conclusions: These data demonstrate that the pan heme classifier can identify cancer signal from R/R patients across multiple hematologic malignancies. We are currently working to further optimize the assay’s specificity and sensitivity. These results support the development of a blood-based tumor agnostic methylated ctDNA MRD assay with potential utility in several hematologic indications. Citation Format: Veerendra Munugalavadla, Gary de Jesus, Aleksandra Markovets, Qinwen Liu, Oliver Venn, Rafael White, Giulia Fabbri, Paul Labrousse, Dan Stetson, Brian Dougherty, Darren Hodgson, Jill Walker, Anas Younes, Daniel Auclair. Utility of ctDNA-based targeted methylation MRD assay for hematological malignancies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3369.